nushell/crates/nu_plugin_polars/src/dataframe/eager/take.rs
Jack Wright 68adc4657f
Polars lazy refactor (#12669)
This moves to predominantly supporting only lazy dataframes for most
operations. It removes a lot of the type conversion between lazy and
eager dataframes based on what was inputted into the command.

For the most part the changes will mean:
* You will need to run `polars collect` after performing operations
* The into-lazy command has been removed as it is redundant.
* When opening files a lazy frame will be outputted by default if the
reader supports lazy frames

A list of individual command changes can be found
[here](https://hackmd.io/@nucore/Bk-3V-hW0)

---------

Co-authored-by: Ian Manske <ian.manske@pm.me>
2024-05-06 23:19:11 +00:00

160 lines
5.0 KiB
Rust

use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, SyntaxShape, Type,
Value,
};
use polars::prelude::DataType;
use crate::{dataframe::values::Column, values::CustomValueSupport, PolarsPlugin};
use super::super::values::NuDataFrame;
#[derive(Clone)]
pub struct TakeDF;
impl PluginCommand for TakeDF {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars take"
}
fn usage(&self) -> &str {
"Creates new dataframe using the given indices."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.required(
"indices",
SyntaxShape::Any,
"list of indices used to take data",
)
.input_output_type(
Type::Custom("dataframe".into()),
Type::Custom("dataframe".into()),
)
.category(Category::Custom("dataframe".into()))
}
fn examples(&self) -> Vec<Example> {
vec![
Example {
description: "Takes selected rows from dataframe",
example: r#"let df = ([[a b]; [4 1] [5 2] [4 3]] | polars into-df);
let indices = ([0 2] | polars into-df);
$df | polars take $indices"#,
result: Some(
NuDataFrame::try_from_columns(
vec![
Column::new(
"a".to_string(),
vec![Value::test_int(4), Value::test_int(4)],
),
Column::new(
"b".to_string(),
vec![Value::test_int(1), Value::test_int(3)],
),
],
None,
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
Example {
description: "Takes selected rows from series",
example: r#"let series = ([4 1 5 2 4 3] | polars into-df);
let indices = ([0 2] | polars into-df);
$series | polars take $indices"#,
result: Some(
NuDataFrame::try_from_columns(
vec![Column::new(
"0".to_string(),
vec![Value::test_int(4), Value::test_int(5)],
)],
None,
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
input: PipelineData,
) -> Result<PipelineData, LabeledError> {
command(plugin, engine, call, input).map_err(LabeledError::from)
}
}
fn command(
plugin: &PolarsPlugin,
engine: &EngineInterface,
call: &EvaluatedCall,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let index_value: Value = call.req(0)?;
let index_span = index_value.span();
let index = NuDataFrame::try_from_value_coerce(plugin, &index_value, call.head)?
.as_series(index_span)?;
let casted = match index.dtype() {
DataType::UInt32 | DataType::UInt64 | DataType::Int32 | DataType::Int64 => index
.cast(&DataType::UInt32)
.map_err(|e| ShellError::GenericError {
error: "Error casting index list".into(),
msg: e.to_string(),
span: Some(index_span),
help: None,
inner: vec![],
}),
_ => Err(ShellError::GenericError {
error: "Incorrect type".into(),
msg: "Series with incorrect type".into(),
span: Some(call.head),
help: Some("Consider using a Series with type int type".into()),
inner: vec![],
}),
}?;
let indices = casted.u32().map_err(|e| ShellError::GenericError {
error: "Error casting index list".into(),
msg: e.to_string(),
span: Some(index_span),
help: None,
inner: vec![],
})?;
let df = NuDataFrame::try_from_pipeline_coerce(plugin, input, call.head)?;
let polars_df = df
.to_polars()
.take(indices)
.map_err(|e| ShellError::GenericError {
error: "Error taking values".into(),
msg: e.to_string(),
span: Some(call.head),
help: None,
inner: vec![],
})?;
let df = NuDataFrame::new(polars_df);
df.to_pipeline_data(plugin, engine, call.head)
}
#[cfg(test)]
mod test {
use super::*;
use crate::test::test_polars_plugin_command;
#[test]
fn test_examples() -> Result<(), ShellError> {
test_polars_plugin_command(&TakeDF)
}
}